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A Novel Method to Simultaneously Measure Leaf Gas Exchange and Water Content
Junttila, Samuli (University of Eastern Finland)
Hölttä, Teemu (University of Helsinki)
Salmon, Yann (University of Helsinki. Institute for Atmospheric and Earth System Research)
Filella, Iolanda (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)

Data: 2022
Resum: Understanding the relationship between plant water status and productivity and between plant water status and plant mortality is required to effectively quantify and predict the effects of drought on plants. Plant water status is closely linked to leaf water content that may be estimated using remote sensing technologies. Here, we used an inexpensive miniature hyperspectral spectrometer in the 1550-1950 nm wavelength domain to measure changes in silver birch (Betula pendula Roth) leaf water content combined with leaf gas exchange measurements at a sub-minute time resolution, under increasing vapor pressure deficit, CO concentrations, and light intensity within the measurement cuvette; we also developed a novel methodology for calibrating reflectance measurements to predict leaf water content for individual leaves. Based on reflectance at 1550 nm, linear regression modeling explained 98-99% of the variation in leaf water content, with a root mean square error of 0. 31-0. 43 g cm. The prediction accuracy of the model represents a c. ten-fold improvement compared to previous studies that have used destructive sampling measurements of several leaves. This novel methodology allows the study of interlinkages between leaf water content, transpiration, and assimilation at a high time resolution that will increase understanding of the movement of water within plants and between plants and the atmosphere.
Ajuts: Agencia Estatal de Investigación PID2019-110521GB-I00
European Commission 101056844
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès
Document: Article ; recerca ; Versió publicada
Matèria: Hyperspectral imaging ; Spectroscopyt ; Plant water relations ; Leaf water status ; Remote sensing ; Equivalent water thickness ; Transpiration
Publicat a: Remote sensing (Basel), Vol. 14, issue 15 (August 2022) , art. 3693, ISSN 2072-4292

DOI: 10.3390/rs14153693


11 p, 2.0 MB

El registre apareix a les col·leccions:
Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències > CREAF (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Articles > Articles de recerca
Articles > Articles publicats

 Registre creat el 2025-02-21, darrera modificació el 2026-01-19



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